Vimal Rawat

918 total citations
9 papers, 503 citations indexed

About

Vimal Rawat is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Vimal Rawat has authored 9 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Vimal Rawat's work include Plant Molecular Biology Research (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Genetic and Environmental Crop Studies (2 papers). Vimal Rawat is often cited by papers focused on Plant Molecular Biology Research (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Genetic and Environmental Crop Studies (2 papers). Vimal Rawat collaborates with scholars based in Germany, India and Argentina. Vimal Rawat's co-authors include Korbinian Schneeberger, Detlef Weigel, C.G. Suresh, Kenichi Tsuda, Maida Romera‐Branchat, Pedro Madrigal, Paweł Krajewski, George Coupland, René Richter and Fabio Fornara and has published in prestigious journals such as PLoS ONE, New Phytologist and The American Journal of Human Genetics.

In The Last Decade

Vimal Rawat

9 papers receiving 500 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vimal Rawat Germany	8	380	341	77	20	13	9	503
Yoshihiko Nanasato Japan	12	284 0.7×	216 0.6×	44 0.6×	16 0.8×	16 1.2×	23	376
Soodeh Tirnaz Australia	13	620 1.6×	299 0.9×	119 1.5×	19 0.9×	7 0.5×	20	699
Darren J. Morrow United States	10	419 1.1×	359 1.1×	69 0.9×	29 1.4×	5 0.4×	11	504
Meric Lieberman United States	7	437 1.1×	292 0.9×	88 1.1×	12 0.6×	4 0.3×	14	504
Fandi Ai China	4	191 0.5×	200 0.6×	41 0.5×	15 0.8×	8 0.6×	7	281
Yanshi Xia Australia	10	266 0.7×	146 0.4×	62 0.8×	9 0.5×	7 0.5×	18	332
Tsuyuko Wada Japan	7	491 1.3×	165 0.5×	102 1.3×	27 1.4×	4 0.3×	7	539
Jérôme Morice France	12	303 0.8×	307 0.9×	85 1.1×	55 2.8×	4 0.3×	16	416
Morad M. Mokhtar Egypt	11	303 0.8×	260 0.8×	49 0.6×	18 0.9×	14 1.1×	24	418
Amanda M. Vondras United States	9	305 0.8×	173 0.5×	43 0.6×	24 1.2×	9 0.7×	10	353

Countries citing papers authored by Vimal Rawat

Since Specialization

Citations

This map shows the geographic impact of Vimal Rawat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vimal Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vimal Rawat more than expected).

Fields of papers citing papers by Vimal Rawat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vimal Rawat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vimal Rawat. The network helps show where Vimal Rawat may publish in the future.

Co-authorship network of co-authors of Vimal Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Vimal Rawat. A scholar is included among the top collaborators of Vimal Rawat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vimal Rawat. Vimal Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

André, Valérie, et al.. (2024). Facial Skin Microbiome Composition and Functional Shift with Aging. Microorganisms. 12(5). 1021–1021. 11 indexed citations

2.

Rawat, Vimal, et al.. (2017). Genome-wide identification and tissue-specific expression analysis of nucleotide binding site-leucine rich repeat gene family in Cicer arietinum (kabuli chickpea). Genomics Data. 14. 24–31. 17 indexed citations

3.

Mateos, Julieta L., Pedro Madrigal, Kenichi Tsuda, et al.. (2015). Combinatorial activities of SHORT VEGETATIVE PHASE and FLOWERING LOCUS C define distinct modes of flowering regulation in Arabidopsis. Genome Biology. 16(1). 31–31. 148 indexed citations

4.

Rawat, Vimal, Danelle K. Seymour, Daniel Koenig, et al.. (2015). Improving the Annotation of Arabidopsis lyrata Using RNA-Seq Data. PLoS ONE. 10(9). e0137391–e0137391. 64 indexed citations

5.

Rawat, Vimal, et al.. (2014). Genome-Wide Identification and Tissue-Specific Expression Analysis of UDP-Glycosyltransferases Genes Confirm Their Abundance in Cicer arietinum (Chickpea) Genome. PLoS ONE. 9(10). e109715–e109715. 35 indexed citations

6.

Wijnker, Erik, Geo Velikkakam James, Jia Ding, et al.. (2013). The genomic landscape of meiotic crossovers and gene conversions in Arabidopsis thaliana. eLife. 2. e01426–e01426. 165 indexed citations

7.

Logemann, Elke, Rainer P. Birkenbihl, Vimal Rawat, et al.. (2013). Functional dissection of the PROPEP2 and PROPEP3 promoters reveals the importance of WRKY factors in mediating microbe‐associated molecular pattern‐induced expression. New Phytologist. 198(4). 1165–1177. 41 indexed citations

8.

Narang, Ankita, Pankaj Jha, Vimal Rawat, et al.. (2011). Recent Admixture in an Indian Population of African Ancestry. The American Journal of Human Genetics. 89(2). 344–344. 1 indexed citations

9.

Narang, Ankita, Pankaj Jha, Vimal Rawat, et al.. (2011). Recent Admixture in an Indian Population of African Ancestry. The American Journal of Human Genetics. 89(1). 111–120. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact